Nirav Bhatt | Analysis | Best Researcher Award

Dr. Nirav Bhatt | Analysis | Best Researcher Award

Associate Professor at CHARUSAT, India

Dr. Nirav H. Bhatt is an accomplished academic and researcher with a Ph.D. in AI/ML from CHARUSAT. He has over 15 years of experience in teaching, mentoring, and research. Dr. Bhatt has guided more than 50 students, both at the Master’s and Bachelor’s levels, and is recognized as a top-performing mentor by NPTEL. His research, which focuses on low-latency processing and data analytics, has been presented at prestigious international conferences and published in renowned journals. He has also conducted expert talks and seminars on big data and database systems at multiple institutions. Dr. Bhatt has received numerous awards, including recognition from AICTE and Texas Instruments, and has played a pivotal role in promoting NPTEL courses in regional languages. With technical expertise in machine learning, cloud computing, and data science, he continues to contribute significantly to both academia and industry.

Professional Profile 

Education

Dr. Nirav H. Bhatt has a strong academic foundation with a Ph.D. in AI/ML from CHARUSAT, completed in 2022. Prior to his doctorate, he earned a Master’s degree in Computer Engineering (M.E.C.E.) from DDU in 2009 with a score of 66.33%, and a Bachelor’s degree in Information Technology (B.E.I.T.) from Gujarat University in 2006, where he scored 63.76%. He also holds a Diploma in Information Technology (D.I.T.) from TEB, which he completed in 2003 with an impressive score of 71.62%. His academic journey reflects a consistent dedication to computer science and technology. Dr. Bhatt’s doctoral thesis focused on a novel approach for low-latency processing in stream data, further contributing to the field of AI and machine learning. His educational achievements are complemented by certifications such as Microsoft Certified MTA in Database Fundamentals, highlighting his expertise and ongoing commitment to professional growth.

Professional Experience

Dr. Nirav H. Bhatt has over 15 years of professional experience in academia and research. Since 2008, he has been a faculty member at Charotar University of Science and Technology (CHARUSAT), where he currently serves as the Head of the Department of AI-ML and an Associate Professor. During his tenure, Dr. Bhatt has significantly contributed to the development of the AI/ML curriculum and research programs. He has also held a position as an Assistant Professor at C. U. Shah College of Engineering and Technology for a year. Dr. Bhatt has played a pivotal role as a mentor, guiding over 50 students in computer science and receiving recognition as a top-performing mentor by NPTEL. Additionally, he has conducted expert talks, seminars, and online courses in areas such as big data analytics and database systems. His experience extends to industry training with leading organizations, strengthening his practical knowledge in machine learning, cloud computing, and data science.

Research Interest

Dr. Nirav H. Bhatt’s research interests primarily lie in the fields of Artificial Intelligence (AI), Machine Learning (ML), Big Data, and Data Science. His work focuses on developing innovative solutions for low-latency processing in stream data, with an emphasis on enhancing the efficiency and scalability of data-driven systems. Dr. Bhatt’s doctoral research, which introduced a novel approach to stream data processing, has contributed significantly to advancing the understanding of real-time data analytics. His expertise also extends to cloud platforms such as Google Cloud and AWS, where he explores the integration of machine learning algorithms in cloud environments to handle large-scale data processing. Additionally, he is passionate about data visualization, the application of AI in database systems, and the development of intelligent systems for big data analytics. His research is aimed at solving practical challenges in academia and industry, particularly in optimizing data processing and machine learning models for real-world applications.

Award and Honor

Dr. Nirav H. Bhatt has received numerous awards and honors in recognition of his contributions to academia and research. Notably, he has been awarded by AICTE and Texas Instruments for fostering collaboration between government, academia, and industry, particularly through his coordination of the “TI Embedded System Design using MSP430” MOOC in 2021. Dr. Bhatt has also been recognized for his consistent excellence as a mentor, earning the title of Top Performing Mentor by NPTEL for several consecutive years (2016–2020). His leadership in Swayam-NPTEL courses has garnered multiple accolades, including recognition for his translation work in regional languages for courses such as “Fundamentals of Database Systems” and “Programming in C.” Additionally, he was awarded Best Research Paper Presentation at the SSIC-2019 International Springer Conference and received multiple certifications for his contribution to the CHARUSAT NPTEL Local Chapter, achieving AAA and AA grades over several years. These awards highlight his dedication to education and research.

Conclusion

Dr. Nirav H. Bhatt is an exceptional candidate for the Best Researcher Award. His academic achievements, extensive contributions to the field of AI and ML, as well as his mentoring roles, distinguish him as a leader in both research and education. His awards, recognition by NPTEL, and commitment to research make him a deserving nominee. However, focusing on expanding his international collaborations and enhancing the practical impact of his research could propel him to even greater heights in the academic community. Based on his accomplishments and contributions, he shows a strong potential to receive the Best Researcher Award.

Publications Top Noted

  • Smart systems and IoT: Innovations in computing
    Authors: AK Somani, RS Shekhawat, A Mundra, S Srivastava, VK Verma
    Year: 2020
    Citation: 35
  • A survey on comparative study of wireless sensor network topologies
    Authors: J Soparia, N Bhatt
    Year: 2014
    Citation: 33
  • Performance comparison of different sorting algorithms
    Authors: P Prajapati, N Bhatt, N Bhatt
    Year: 2017
    Citation: 21
  • Ranking of classifiers based on dataset characteristics using active meta learning
    Authors: N Bhatt, A Thakkar, A Ganatra, N Bhatt
    Year: 2013
    Citation: 13
  • Survey and evolution study focusing comparative analysis and future research direction in the field of recommendation system specific to collaborative filtering approach
    Authors: A Patel, A Thakkar, N Bhatt, P Prajapati
    Year: 2019
    Citation: 11
  • An efficient approach for low latency processing in stream data
    Authors: N Bhatt, A Thakkar
    Year: 2021
    Citation: 10
  • A review of soft computing techniques for time series forecasting
    Authors: A Sanghani, N Bhatt, NC Chauhan
    Year: 2016
    Citation: 10
  • Survey on Anonymization in Privacy Preserving Data Mining
    Authors: F Presswala, A Thakkar, N Bhatt
    Year: 2015
    Citation: 7
  • Experimental Analysis on Processing of Unbounded Data
    Authors: N Bhatt, A Thakkar
    Year: 2019
    Citation: 6
  • Proceedings of the international conference on ismac in computational vision and bio-engineering 2018 (ismac-cvb)
    Authors: D Pandian, X Fernando, Z Baig, F Shi
    Year: 2019
    Citation: 6
  • A survey on issues of data stream mining in classification
    Authors: R Jani, N Bhatt, C Shah
    Year: 2018
    Citation: 6
  • Deep learning: a new perspective
    Authors: N Bhatt, N Bhatt, P Prajapati
    Year: 2017
    Citation: 6
  • Algorithm selection via meta-learning and active meta-learning
    Authors: N Bhatt, A Thakkar, N Bhatt, P Prajapati
    Year: 2020
    Citation: 5
  • Query expansion for effective retrieval from microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5
  • A survey of information retrieval on microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5

Yoongu Kang | Computational Thermodynamics | Best Researcher Award

Yoongu Kang | Computational Thermodynamics | Best Researcher Award

Dr. Yoongu Kang, Seoul National University, South Korea.

Publication profile

Scopus
Orcid

Education

  • Ph.D. in Materials Science and Engineering
    Seoul National University, Seoul, Republic of Korea
    09/2017 – 08/2023

    • Dissertation: Predictive thermodynamic model for surface tension of metallic melts
  • B.Eng. in Materials Engineering with 12-month Co-op internship
    McGill University, Montreal, Canada
    09/2011 – 08/2015

    • Internship at 5N Plus Inc. (Dept. Micro Powder)
    • Internship at McGill University (P2[AM]2 Lab.)
    • Internship at FPInnovations (Dept. Bio-refinery)

Experience

  • Postdoctoral Fellow
    Dept. of Materials Science and Engineering
    Seoul National University, Seoul, Republic of Korea
    09/2023 – Present

    • Conducting research on metallurgical processes and alloy development using computational thermodynamics.
    • Collaborating with the research team to design experiments and analyze data.
    • Mentoring graduate students on their research projects.
  • Junior Production Engineer
    Dept. of Micro Powder
    5N Plus Inc., Montreal, Canada
    09/2015 – 06/2017

    • Executed production processes and maintained operations in the Micro Powder department.
    • Collaborated with cross-functional teams to align production processes with quality standards.
    • Monitored and optimized manufacturing parameters to enhance product quality and cost-effectiveness.

Suitability For The Award

Dr. Yoongu Kang is a highly qualified candidate for the Best Researcher Award due to his significant contributions to the field of Materials Science and Engineering. His research in computational thermodynamics and alloy development, combined with his practical experience in production engineering, positions him as an influential figure in the advancement of metallurgical processes.

Professional Development 

Awards and Honors 

  • Best Paper Award (2022)
    For “Critical thermodynamic assessment of Mo–C, Mo–N, and Mo–C–N systems, and its application to Mo carbo-nitride synthesis,” Journal of Materials Research.
  • Graduate Research Fellowship
    Awarded by Seoul National University for outstanding research performance during Ph.D. studies.
  • McGill University Co-op Award
    Recognized for exceptional performance during internship at 5N Plus Inc.
  • Honors for Academic Excellence
    Awarded for maintaining a high GPA throughout the B.Eng. program at McGill University.

Publications

  • Model for Surface Tension of Pure Liquid Metals: Revisit to Iida’s Model
    Kang, Y., Jung, I.-H. (2024)Cited by: 0
  • Investigation of Mechanical and Corrosion Properties of New Mg-Zn-Ga Amorphous Alloys for Biomedical Applications
    Bazhenov, V.E., Gorobinskiy, M.V., Bazlov, A.I., … Jung, I.-H. (2024)Cited by: 0
  • Critical Thermodynamic Assessment of Mo–C, Mo–N, and Mo–C–N Systems, and Its Application to Mo Carbo-Nitride Synthesis
    Kang, Y., Paek, M.-K., Jung, I.-H. (2022)Cited by: 1
  • Anomalous Dimensionality-Driven Phase Transition of MoTe2 in Van der Waals Heterostructure
    Ryu, H., Lee, Y., Kim, H.-J., … Son, Y.-W., Lee, G.-H. (2021)Cited by: 20